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Cited by 341

The DOI matches its Crossref record; 529 of the 529 references it cites were found in a registry or an index.

Antimicrobial Peptides: An Update on Classifications and Databases

Open access
Bin Hafeez, Ahmer, Jiang, Xukai, Bergen, Phillip J., Zhu, Yan·2021·International Journal of Molecular Sciences

Abstract

Antimicrobial peptides (AMPs) are distributed across all kingdoms of life and are an indispensable component of host defenses. They consist of predominantly short cationic peptides with a wide variety of structures and targets. Given the ever-emerging resistance of various pathogens to existing antimicrobial therapies, AMPs have recently attracted extensive interest as potential therapeutic agents. As the discovery of new AMPs has increased, many databases specializing in AMPs have been developed to collect both fundamental and pharmacological information. In this review, we summarize the sources, structures, modes of action, and classifications of AMPs. Additionally, we examine current AMP databases, compare valuable computational tools used to predict antimicrobial activity and mechanisms of action, and highlight new machine learning approaches that can be employed to improve AMP activity to combat global antimicrobial resistance.

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Crossref · 10.3390/ijms222111691

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Metadata

Authors
Bin Hafeez, A., Jiang, X., Bergen, P. J., & Zhu, Y.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2021-10-28
Volume
22
Issue
21
Pages
11691
ISSN
1422-0067 (ISSN-L)
OpenAlex
W3210497502
Cited by
341
References
529
FWCI
26.84
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Antimicrobial Peptides: An Update on Classifications and Databases. https://app.cochat.ai/papers/10.3390/ijms222111691
The paper
Bin Hafeez, A., Jiang, X., Bergen, P. J., & Zhu, Y. (2021). Antimicrobial Peptides: An Update on Classifications and Databases. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms222111691

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.